Toenail nicotine levels as a biomarker of tobacco smoke exposure. 2002

Wael K Al-Delaimy, and Graeme N Mahoney, and Frank E Speizer, and Walter C Willett
Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA. wael@hsph.harvard.edu

Currently used biomarkers of tobacco smoke exposure have several disadvantages, including that they reflect short-term exposure and can therefore be affected by day-to-day variations. The aim of this study was to assess the validity of toenail nicotine levels as a biomarker of exposure to tobacco smoke for use in epidemiological studies. Toenails were collected in 1982 from 62,641 women participating in the Nurses' Health Study, whereas questionnaire data at that time provided information on active and passive smoke exposure. A stratified random sample of stored toenails from 106 women were selected according to their reported exposure category. Toenails were analyzed for nicotine levels by high-performance liquid chromatography. Toenail nicotine levels differed significantly according to tobacco smoke exposure (P < 0.0001). Among nonactive smokers, there was a significant difference in toenail nicotine levels between passive smokers (mean = 0.28 ng/mg) and nonexposed women (mean = 0.08 ng/mg; P = 0.0006). Among active smokers, there was also a significant difference (P = 0.04) in mean nicotine levels according to categories of cigarettes smoked (means for smokers of 1-14, 15-24, and 25 or more cigarettes/day were 0.94, 1.81, and 2.40 ng/mg). An overlap of the distribution of nicotine levels among passive and active smokers was found. Among all women, the correlation between nail nicotine levels and smoking exposure categories was r = 0.80 (P < 0.0001). The results of this study indicate that toenail nicotine level measurement is a valid biomarker for assessment of active and passive exposure to tobacco smoke. Nail nicotine levels may reflect aspects of active and passive exposure not captured by standard questionnaires and, thus, have the potential to provide better assessment of associations with health risk.

UI MeSH Term Description Entries
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009262 Nails The thin, horny plates that cover the dorsal surfaces of the distal phalanges of the fingers and toes of primates. Fingernails,Toenails,Fingernail,Nail,Toenail
D009538 Nicotine Nicotine is highly toxic alkaloid. It is the prototypical agonist at nicotinic cholinergic receptors where it dramatically stimulates neurons and ultimately blocks synaptic transmission. Nicotine is also important medically because of its presence in tobacco smoke. Nicotine Bitartrate,Nicotine Tartrate
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D004781 Environmental Exposure The exposure to potentially harmful chemical, physical, or biological agents in the environment or to environmental factors that may include ionizing radiation, pathogenic organisms, or toxic chemicals. Exposure, Environmental,Environmental Exposures,Exposures, Environmental
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D012907 Smoking Willful or deliberate act of inhaling and exhaling SMOKE from burning substances or agents held by hand. Smoking Behaviors,Smoking Habit,Behavior, Smoking,Behaviors, Smoking,Habit, Smoking,Habits, Smoking,Smoking Behavior,Smoking Habits

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